Ligand-Peroxidase Conjugates for Quantification of Receptor-Mediated Transport into Cells
Bibliographic record
Abstract
Receptor-mediated cellular uptake of physiological regulators such as nutritional and hormonal factors represents a transport event with important consequences for cell differentiation, death, or proliferation. Although internalization pathways are important points of regulation, they have not been extensively explored as pharmacological targets in most cell types. An experimental strategy based on ligand-enzyme conjugates is presented in this report that may facilitate high-throughput screening for potent chemical modulators of the transport events. The method was tested on a human epidermoid cell line using a streptavidin-peroxidase conjugate, and human holo-transferrin as the model ligand, in a biotin-ligand conjugate. The proposed screening method is rapid, can be performed using multi-well plates, and involves small assay volumes. The modular nature of the ligand complex makes this method adaptable to the use of other biotinylated ligands, and the use of avidins conjugated to other enzymes. As is discussed, the method may also be applicable to other in vitro and in vivo transport assays. Keywords: Cell transport, epidermoid cells, ligand conjugates, receptor-mediated endocytosis, screening assay, Endocytosis, clathrin-mediated endocytosis, transferrin endocytosis, transferrin RME model, ligand-enzyme conjugate assay.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".